16 citations · 45 across the 6 of their papers we have counts for
6 papers
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification
Idio Guarino, Chao Wang, Alessandro Finamore +2
The popularity of Deep Learning (DL), coupled with network traffic visibility reduction due to the increased adoption of HTTPS, QUIC and DNS-SEC, re-ignited interest towards Traffi…
On the Integration of Blockchain and SDN: Overview, Applications, and Future Perspectives
Anichur Rahman, Antonio Montieri, Dipanjali Kundu +5
Blockchain (BC) and Software-Defined Networking (SDN) are leading technologies which have recently found applications in several network-related scenarios and have consequently exp…
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification
Giampaolo Bovenzi, Lixuan Yang, Alessandro Finamore +4
The recent popularity growth of Deep Learning (DL) re-ignited the interest towards traffic classification, with several studies demonstrating the accuracy of DL-based classifiers t…
IPPO: A Privacy-Aware Architecture for Decentralized Data-sharing
Maurizio Aiello, Enrico Cambiaso, Roberto Canonico +4
Online trackers personalize ads campaigns, exponentially increasing their efficacy compared to traditional channels. The downside of this is that thousands of mostly unknown system…
Astrophysical data mining with GPU. A case study: genetic classification of globular clusters
Stefano Cavuoti, Mauro Garofalo, Massimo Brescia +4
We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel computing technology. The model was derived from our CPU serial implementation, na…
Genetic Algorithm Modeling with GPU Parallel Computing Technology
Stefano Cavuoti, Mauro Garofalo, Massimo Brescia +3
We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel computing technology. The model was derived from a multi-core CPU serial implement…